Dataset Versions

v13

2023-09-26 1:39pm

Generated on Sep 26, 2023

Dataset Split

Train Set 92%
261Images
Valid Set 8%
22Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Modify Classes: 11 remapped, 23 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -16% and +16%
Blur: Up to 1px
Mosaic: Applied

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